import numpy as np
import pymysql 
import pandas as pd

class MysqlUtils(object):
    """数据库哦工具类


    Args:
        object (_type_): _description_
    """


    def __init__(self):
        self.conn = pymysql.connect(
            host='127.0.0.1',
            user='root',
            passwd='root',
            database='scenic',
            port=3306,
            charset='utf8'
        )


    def get_data(self):
        cursor = self.conn.cursor(cursor=pymysql.cursors.DictCursor)
        sql = """
        SELECT o.tourist_agency_name, u.id_no, LEFT(u.id_no, 2) as province_code,
        DAYOFWEEK( gate.create_time) as non_weekend, cast(substring(u.id_no, 7, 4) as unsigned) as birth_year
        FROM ticket_order_user_rel u JOIN ticket_order o on o.id = u.order_id JOIN order_user_gate_rel gate on gate.ticket_rel_id = u.id
        WHERE o.tourist_agency_name != '' and o.pay_time != ''
        """
        cursor.execute(sql)
        ret = cursor.fetchall()
        df = pd.DataFrame(ret)
        print(df.head)

        # 数据处理
        df['non_weekend'] = df['non_weekend'].apply(lambda x: 1 if x not in [1, 7] else 0)  # 非周末
        # 新增有效性标记列
        df['valid_id'] = df['id_no'].apply(lambda x: 1 if x and str(x).strip() != '' else 0)

        # 计算省记录的老年人及外省游客
        df['elderly_ratio'] = df.apply(
            lambda x: 1 if (x['valid_id'] and 2025 - x['birth_year'] >= 60) else 0 if x['valid_id'] else 0,
            axis=1
        )
        df['out_province_ratio'] = df.apply(
            lambda x: 1 if (x['valid_id'] and x['province_code'] != '44') else 0 if x['valid_id'] else 0,
            axis=1
        )

        print(df.head)
        # 分组聚合计算占比
        result = df.groupby('tourist_agency_name').agg(
            total_visitors=('id_no', 'count'),  # 总游客数
            valid_visitors=('valid_id', 'sum'),  # 有效身份证游客数
            out_province=('out_province_ratio', 'sum'),  # 外省人数(仅有效id_no)
            elderly=('elderly_ratio', 'sum'),  # 老年人游客人数
            non_weekend_ratio=('non_weekend', 'mean')  # 分周末占比
        ).reset_index()
        print(result.head)
        # 计算实际比例
        result['out_province_ratio'] = result['out_province'] / result['valid_visitors'].replace(0, np.nan)
        result['elderly_ratio'] = result['elderly'] / result['valid_visitors'].replace(0, np.nan)
        # 清除中间列
        result = result.drop(['out_province', 'elderly'], axis=1)
        result['out_province_ratio'] = result['out_province_ratio'].fillna(0)
        result['elderly_ratio'] = result['elderly_ratio'].fillna(0)

        result.to_csv('scenic_data.csv')

if __name__ == '__main__':
    mu = MysqlUtils()
    mu.get_data()